Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Exploratory undersampling for class-imbalance learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Chatter on the red: what hazards threat reveals about the social life of microblogged information
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Short text classification in twitter to improve information filtering
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Tweet me home: exploring information use on twitter in crisis situations
OCSC'11 Proceedings of the 4th international conference on Online communities and social computing
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Semantics + filtering + search = twitcident. exploring information in social web streams
Proceedings of the 23rd ACM conference on Hypertext and social media
Improving tweet stream classification by detecting changes in word probability
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Graph-based collective classification for tweets
Proceedings of the 21st ACM international conference on Information and knowledge management
Tweet classification based on their lifetime duration
Proceedings of the 21st ACM international conference on Information and knowledge management
ESA: emergency situation awareness via microbloggers
Proceedings of the 21st ACM international conference on Information and knowledge management
Location extraction from disaster-related microblogs
Proceedings of the 22nd international conference on World Wide Web companion
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Monitoring social media in critical disaster situations can potentially assist emergency and media personnel to deal with events as they unfold, and focus their resources where they are most needed. We address the issue of filtering massive amounts of Twitter data to identify high-value messages related to disasters, and to further classify disaster-related messages into those pertaining to particular disaster types, such as earthquake, flooding, fire, or storm. Unlike post-hoc analysis that most previous studies have done, we focus on building a classification model on past incidents to detect tweets about current incidents. Our experimental results demonstrate the feasibility of using classification methods to identify disaster-related tweets. We analyse the effect of different features in classifying tweets and show that using generic features rather than incident-specific ones leads to better generalisation on the effectiveness of classifying unseen incidents.